Machine Learning and AICML, Innovation Alberta (Radio interview#240), August 2007.

Research Profile: Brain Tumour Analysis Project, UofAlberta Computing Science Webpage, May 2007 (Erin Ottosen).

Helping the World Understand Data, Alberta Venture (ASTech Spotlight), Feb 2007.

Alberta researchers 1st to complete the human metabolome, GENOME ALBERTA, 23 Jan 2007.

Researchers at the University of Alberta, in Edmonton, Canada, have announced the completion of the first draft of the human metabolome, the chemical equivalent of the human genome. The metabolome is the complete complement of all small molecule chemicals (metabolites) found in or produced by an organism. By analogy, if the genome represents the blueprint of life, the metabolome represents the ingredients of life. ...

Machine learning attracting major players, Business Edge, Vol 7, No 1, 12 Jan 2007 (Laura Severs).

Google is paying attention, so is Yahoo.

But the University of Alberta-based Alberta Ingenuity Centre for Machine Learning (AICML) hasn't fully played its hand yet.

Established as a centre for pure and applied machine- learning research with financial support in 2006 of $2.3 million from the province's Alberta Ingenuity Fund, AICML's machine-learning operation brings together experts with backgrounds in artificial intelligence, computer science, statistics and mathematics.

...

WebIC: The Intuitive Browser, Innovation Alberta (Radio interview#203), 6 June 2006.

A team of researchers from the Alberta Ingenuity Centre for Machine Learning has come up with a whole new way to help people browse on the web. Thanks to the work of Dr. Russ Greiner, Tingshao Zhu, Dr. Bob Price and their colleagues, the new program can actually predict what you want, and will find it for you much faster than what, and will find it for you much faster than what's available today. ...

McCalla profs focus on research, Folio, 16 Dec 2005.

[...]
A successful researcher of machine learning, Greiner uses computer algorithms to find patterns in datasets. He intends to continue applying these techniques to medical and biological datasets, seeking patterns that can later be used to improve diagnosis and treatment of diseases. One set of tasks involves examining genomic, proteomic and metabolomic information of patients, to identify which have a certain disease (like cancer), and which will respond well to a particular treatment. Another project uses learning algorithms first to find the tumour volumes within MRI images of a brain, before predicting how that tumour will grow. Other projects involve predicting properties of novel proteins, helping users find useful information in the Internet, and personalizing customer interfaces for eCommerce.
[...]

Alberta researchers working to map the human brain, "Alberta Surplus", Nov 2005.

Another global first for Edmonton, Edmontonians, Nov 2005.

Artificial intelligence may still be widely viewed as the yolky domain of eggheads, spindly academics bent on establishing that angels can indeed dance on pins.

Nevertheless, as with so many other latent conveniences in life, most of us rely on this often invisible task facilitator everyday, but seldom have the grace to say thank you. This is particularly regrettable when we consider that AI is perhaps the one algorithm that might actually have the wits to appreciate the gesture.

"The exciting thing is that artificial intelligence is real," declares Dr. Russ Greiner from the University of Alberta's AI research unit ..."

Machine Learning Breakthrough on Mapping Brain Tumours, Innovation Alberta, (Radio Interview#175), 20 Sept 2005.

A computing science student working with the Alberta Ingenuity Centre for Machine Learning has a developed breakthrough computer program. This will greatly improve how oncologists target brain tumours for radiation treatment.

Announcing the AICML, CBC Radio, 3/Oct/2002.

The Alberta Heritage Foundation for Science and Engineering Research, known as Alberta Ingenuity, will provide as much as 14-million dollars over the next five years to establish two new "ingenuity" centres at the U of A. One is in the emerging computing field of Machine Learning. Russ Greiner will direct that new centre. Here is Professor Greiner talking about what his research will be about.

Brain drain flows the other way, Edmonton Journal, 2/Oct/02.

Looking for the ghost in the machine, Express News, 4/Jan/2002.

... Greiner, a professor of computing science at the University of Alberta, aims to make computers learn from, and adapt to, their users. He creates what are called adaptive-user interfaces, programmed algorithms that can change a computer's configurations automatically to suit a specific user. He describes a simple example: "If I've always watched Whose Line is it Anyway? on Thursdays, why can't my VCR figure out how to program it for me?" ...

What is Artificial Intelligence?, Express News, 23/Aug/2001.

... Not all artificial intelligensia share this view. The prevailing view holds that there are many "species" of intelligence. Just as jets are not constrained to fly by flapping their wings, similarly, computers are not constrained to "think" in the same ways as people. To illustrate this point, consider the University of Alberta Chinook program, which in 1994 won the world championship of checkers over all comers, both man and machine. ...

To learn more about Artificial Intelligence in general, see

• AIxploratorium
• AI Topics (within AAAI)